Direct model predictive current control of quasi-Z-source inverters

Ayman Ayad; Petros Karamanakos; Ralph Kennel

doi:10.1109/PRECEDE.2015.7395585

Direct model predictive current control of quasi-Z-source inverters

Ayman Ayad
, Petros Karamanakos
, Ralph Kennel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

11 Citations (Scopus)

60 Downloads (Pure)

Abstract

This paper introduces a direct model predictive control (MPC) strategy to control both sides of a quasi-Z-source inverter (qZSI) based on the inductor and the output currents. To improve the performance of the controlled system, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the increased computational power demands. To overcome this and to solve the problem in real time in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation results highlight the effectiveness of the presented control strategy.

Original language	English
Title of host publication	Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015
Publisher	IEEE
Pages	67-72
Number of pages	6
ISBN (Electronic)	9781509017171
DOIs	https://doi.org/10.1109/PRECEDE.2015.7395585
Publication status	Published - Oct 2015
Externally published	Yes
Publication type	A4 Article in conference proceedings
Event	IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015 - Valparaiso, Chile Duration: 5 Oct 2015 → 6 Oct 2015

Conference

Conference	IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015
Country/Territory	Chile
City	Valparaiso
Period	5/10/15 → 6/10/15

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/PRECEDE.2015.7395585

Direct model predictive current control of quasi-Z-source inverters 2015
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Accepted author manuscript, 453 KB

http://urn.fi/URN:NBN:fi:tuni-202004093169

Cite this

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title = "Direct model predictive current control of quasi-Z-source inverters",

abstract = "This paper introduces a direct model predictive control (MPC) strategy to control both sides of a quasi-Z-source inverter (qZSI) based on the inductor and the output currents. To improve the performance of the controlled system, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the increased computational power demands. To overcome this and to solve the problem in real time in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation results highlight the effectiveness of the presented control strategy.",

author = "Ayman Ayad and Petros Karamanakos and Ralph Kennel",

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note = "IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015 ; Conference date: 05-10-2015 Through 06-10-2015",

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Ayad, A, Karamanakos, P & Kennel, R 2015, Direct model predictive current control of quasi-Z-source inverters. in Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015. IEEE, pp. 67-72, IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015, Valparaiso, Chile, 5/10/15. https://doi.org/10.1109/PRECEDE.2015.7395585

Direct model predictive current control of quasi-Z-source inverters. / Ayad, Ayman; Karamanakos, Petros; Kennel, Ralph.
Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015. IEEE, 2015. p. 67-72.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Direct model predictive current control of quasi-Z-source inverters

AU - Ayad, Ayman

AU - Karamanakos, Petros

AU - Kennel, Ralph

PY - 2015/10

Y1 - 2015/10

N2 - This paper introduces a direct model predictive control (MPC) strategy to control both sides of a quasi-Z-source inverter (qZSI) based on the inductor and the output currents. To improve the performance of the controlled system, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the increased computational power demands. To overcome this and to solve the problem in real time in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation results highlight the effectiveness of the presented control strategy.

AB - This paper introduces a direct model predictive control (MPC) strategy to control both sides of a quasi-Z-source inverter (qZSI) based on the inductor and the output currents. To improve the performance of the controlled system, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the increased computational power demands. To overcome this and to solve the problem in real time in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation results highlight the effectiveness of the presented control strategy.

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DO - 10.1109/PRECEDE.2015.7395585

M3 - Conference contribution

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BT - Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015

PB - IEEE

T2 - IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015

Y2 - 5 October 2015 through 6 October 2015

ER -

Direct model predictive current control of quasi-Z-source inverters

Abstract

Conference

ASJC Scopus subject areas

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